K Kimura
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Virology top 10%
Papers in
- Co-authors
- Kunitada Shimotohno (3 shared papers)Yasunori Tanji (2 shared papers)Yoshiyuki Komoda (2 shared papers)Makoto Hijikata (2 shared papers)Tsuyoshi Akagi (1 shared paper)Y. Hirowatari (1 shared paper)Hiroto Mizushima (1 shared paper)Nobuyuki Kato (1 shared paper)
In The Last Decade
K Kimura
29 papers receiving 742 citations
Peers
Comparison fields: 5 of 74
- Hepatology 393
- Virology 44
- Biotechnology 67
- Epidemiology 261
- Rheumatology 76
Countries citing papers authored by K Kimura
This map shows the geographic impact of K Kimura's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by K Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Kimura more than expected).
Fields of papers citing papers by K Kimura
This network shows the impact of papers produced by K Kimura. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by K Kimura. The network helps show where K Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside K Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 300 | |
| 2 | 1997 | 120 | |
| 3 | 1997 | 94 | |
| 4 | 2000 | 37 | |
| 5 | 1994 | 33 | |
| 6 | Isolation and characterization of a novel cytolytic factor in purple fluid of the sea hare, Aplysia kurodai. | 1989 | 30 |
| 7 | 1985 | 25 | |
| 8 | 1983 | 20 | |
| 9 | 1997 | 14 | |
| 10 | 1999 | 14 | |
| 11 | 2010 | 13 | |
| 12 | 1985 | 13 | |
| 13 | Purification of highly degraded DNA by gel filtration for PCR. | 1994 | 11 |
| 14 | 1992 | 9 | |
| 15 | 1989 | 9 | |
| 16 | 1989 | 5 | |
| 17 | [Phase II study of YNK01 (1-beta-D-arabinofuranosylcytosine-5'-stearylphosphate) on hematological malignancies]. | 1990 | 5 |
| 18 | [Application of silver impregnation to peripheral nerve fiber analysis in topographic anatomy--a communicating branch of the lateral sural cutaneous nerve to the sural nerve in the crab-eating monkey (Macaca fascicularis)]. | 1985 | 5 |
| 19 | 2011 | 5 | |
| 20 | 2010 | 4 |
About K Kimura
K Kimura is a scholar working on Surgery, Genetics, Infectious Diseases, Molecular Biology and Pathology and Forensic Medicine, having authored 31 papers that have together received 787 indexed citations. Recurring topics across this work include Hepatitis C virus research (3 papers), Acute Myeloid Leukemia Research (2 papers), Hepatitis B Virus Studies (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Oral and Maxillofacial Pathology (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Bacteriophages and microbial interactions (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (393 citations), Virology (44 citations), Biotechnology (67 citations), Epidemiology (261 citations) and Rheumatology (76 citations). K Kimura has collaborated with scholars based in Japan and India. Frequent co-authors include Kunitada Shimotohno, Yasunori Tanji, Yoshiyuki Komoda, Makoto Hijikata, Tsuyoshi Akagi, Y. Hirowatari, Hiroto Mizushima, Nobuyuki Kato, Shinichi Asabe and Shinya Satoh. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of Virology, Journal of Bacteriology, Cancer Research and Neuropathology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.